|本期目录/Table of Contents|

[1]常军,张启伟,孙利民.基于随机子空间结合稳定图的拱桥模态参数识别方法[J].建筑科学与工程学报,2007,24(01):21-25.
 CHANG Jun,ZHANG Qi-wei,SUN Li-min.Identified Method of Arch Bridge Modal Parameters Based on Stochastic Subspace Combined with Stabilization Diagram[J].Journal of Architecture and Civil Engineering,2007,24(01):21-25.
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基于随机子空间结合稳定图的拱桥模态参数识别方法(PDF)
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《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:
24卷
期数:
2007年01期
页码:
21-25
栏目:
出版日期:
2007-03-20

文章信息/Info

Title:
Identified Method of Arch Bridge Modal Parameters Based on Stochastic Subspace Combined with Stabilization Diagram
作者:
常军1,2,张启伟2,孙利民2
1. 苏州科技学院 管理科学与工程系,江苏 苏州 215011; 2. 同济大学 土木工程防灾国家重点实验室,上海 200092
Author(s):
CHANG Jun1,2, ZHANG Qi-wei2, SUN Li-min2
1. Department of Management Science and Engineering, Suzhou University of Science and Technology, Suzhou 215011, Jiangsu, China; 2. State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
关键词:
参数识别 环境振动 动力特性 模态分析 随机子空间 稳定图 拱桥
Keywords:
parameter identification ambient vibration dynamic property modal analysis stochastic subspace stabilization diagram arch bridge
分类号:
TU375.1
DOI:
-
文献标志码:
A
摘要:
为了避免目前常用的结构模态参数识别方法容易出现虚假模态等缺陷,提出了一种将随机子空间法与稳定图法相结合的模态参数识别方法。通过随机子空间法有效地从环境激励的结构响应中获取模态参数,通过稳定图方法确定系统阶次。通过对稳定图方法的改进,避免了虚假模态的出现,进而提高了随机子空间方法的识别精度,并在一钢管混凝土拱桥上对这种新方法进行了验证。结果表明,该方法具有良好的识别效果。
Abstract:
Authors presented an identified method of arch bridge modal parameters based on stochastic subspace combined with stabilization diagram for the presence methods having shortcomings for example false modes. Stochastic subspace identification(SSI)can be used to identify structural modal parameters by ambient vibration. The key work of SSI is to gain the order of the system. Stabilization diagram is a novel approach to decide the rank of the system, but this method easily yields false mode. Authors improved the stabilization diagram so that the false mode could be seeked out and the results became more precise. The improved method was evaluated by an actual steel tubular concrete bridge. The result shows that the new approach can gain more precise outcome.

参考文献/References:

[1] PEETERS B,DEROECK G.Reference-based Stochastic Subspace Identification for Output-only Modal Analysis[J].Mechanical Systems and Signal Processing,1999,13(6):855-878.
[2]PEETERS B,DEROECK G.Reference-based Stochastic Subspace Identification in Civil Engineering[J].Inverse Problems in Engineering,2000,8(1):47-74.
[3]VANOVERSCHEE P,DEMOOR B.Subspace Identification for Linear Systems:Theory-implementation-applications[M].Dordrecht:Kluwer Academic Publishers,1996.
[4]傅志方.振动模态分析与参数识别[M].北京:机械工业出版社,1990. FU Zhi-fang.Vibration Modal Analysis and Parameter Identification[M].Beijing:China Machine Press,1990.
[5]WARD H,STEFAN L,PAUL S.Modal Analysis Theory and Testing[M].Levven:KUL Press,1997.
[6]CHANG J,ZHANG Q W,SUN L M.Application of Improved Stabilization Diagram in Modal Parameter Identification by Stochastic Subspace Identification[C]//ISHMII.Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure.London:Taylor & Francis Group,2005:863-868.

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[1]陈啸,王宏伟,刘斌,等.相互作用体系动态参数识别与故障诊断[J].建筑科学与工程学报,2007,24(03):47.
 CHEN Xiao,WANG Hong-wei,LIU Bin,et al.Dynamic Parameter Identification and Fault Diagnosis of Interaction System[J].Journal of Architecture and Civil Engineering,2007,24(01):47.

备注/Memo

备注/Memo:
收稿日期:2006-12-26
基金项目:国家重点基础研究发展计划(“九七三”计划)项目(2002CB412709)
作者简介:常 军(1973-),男,江苏丰县人,苏州科技学院讲师,工学博士,E-mail:changjun21@126.com。
更新日期/Last Update: 2007-03-20